Titlebook: Medical Image Computing and Computer Assisted Intervention – MICCAI 2020; 23rd International C Anne L. Martel,Purang Abolmaesumi,Leo Joskow

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3d-SMRnet: Achieving a New Quality of?MPI?System?Matrix?Recovery by?Deep?Learning model-based reconstruction, the calibration approach has the important advantage that it takes into account both complex particle physics and system imperfections. However, this has the disadvantage that the system matrix has to be re-calibrated each time the scan parameters, the particle types or

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An Evolutionary Framework for Microstructure-Sensitive Generalized Diffusion Gradient Waveformsowever, the design of such waveforms remains an open problem. In this work, we propose a framework for generalized gradient waveform design with optimized sensitivity to selected microstructure features. In particular, we present a rotation-invariant method based on a genetic algorithm to maximize t

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Lesion Mask-Based Simultaneous Synthesis of Anatomic and Molecular MR Images Using a GAN gliomas in neuro-oncology with the help of conventional and advanced molecular MR images. However, the lack of sufficient annotated MRI data has vastly impeded the development of such automatic methods. Conventional data augmentation approaches, including flipping, scaling, rotation, and distortion

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T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance Acquisition development and supporting diagnosis in equivocal neurological situations. However, such quantitative techniques require long acquisition times and therefore cannot be straightforwardly translated to . brain developmental studies. In clinical fetal brain magnetic resonance imaging routine, 2D low-

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